AI R&D and Infrastructure Engineer

A new AI-powered film and content production studio based in Dubai, specializing in AI-driven video and cinematic content.

Our client values ownership, accountability, and a proactive approach to work. The company fosters a culture of trust, providing team members with a high level of autonomy and freedom in decision-making rather than relying on micromanagement. At the same time, this autonomy comes with a strong sense of responsibility, the ability to make sound decisions, and readiness to take ownership of outcomes. Hands-on experience with AI tools and technologies is a mandatory requirement for this position.

• Optimize AI pipelines on in-house hardware, working with GPUs, VRAM, CUDA, quantized models, and generation parameters.
• Deploy, configure, and optimize locally hosted AI models for image and video generation, primarily using ComfyUI.
• Research and test new AI models and technologies, conduct comparative benchmarks, evaluate speed and quality, and provide implementation recommendations.
• Improve software architecture and production workflows, including Docker, Kubernetes, modularity, backups, versioning, and release management.
• Maintain and develop technical infrastructure, including networks, remote access, and security.
• Document technical changes, testing results, and optimization outcomes.Strong technical background and broad expertise across AI, hardware, software, and infrastructure.

• Hands-on experience with local deployment of image and video generation models.
• Knowledge of ComfyUI, CUDA, Linux, model quantization, and optimization techniques.
• Understanding of GPU architectures and how hardware specifications affect AI performance.
• Knowledge of Blender, ControlNet.
• Experience with Docker/Kubernetes and building reliable software pipelines.
• Ability to work independently, take initiative, learn new technologies quickly, and identify optimization opportunities.
• Strong organizational skills, accountability, and attention to documentation.